【摘 要】
：
Although content caching and recommen-dation are two complementary approaches to improve the user experience,it is still challenging to provide an integrated paradigm to fully explore their poten-tial,due to the high complexity and complicated trade-off r
【机 构】
：
State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecomm
论文部分内容阅读
Although content caching and recommen-dation are two complementary approaches to improve the user experience,it is still challenging to provide an integrated paradigm to fully explore their poten-tial,due to the high complexity and complicated trade-off relationship.To provide an efficient management framework,the joint design of content delivery and recommendation in wireless content caching networks is studied in this paper.First,a joint transmission scheme of content objects and recommendation lists is designed with edge caching,and an optimization problem is formulated to balance the utility and cost of content caching and recommendation,which is an mixed integer nonlinear programming problem.Sec-ond,a reinforcement learning based algorithm is pro-posed to implement real time management of content caching,recommendation and delivery,which can ap-proach the optimal solution without iterations during each decision epoch.Finally,the simulation results are provided to evaluate the performance of our pro-posed scheme,which show that it can achieve lower cost than the existing content caching and recommen-dation schemes.
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